Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Polar sampling in k-space: reconstruction effects

M L Lauzon1, B K Rutt

  • 1Department of Medical Biophysics, University of Western Ontario, London, Canada.

Magnetic Resonance in Medicine
|October 31, 1998
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Susceptibility-weighted imaging is more reliable than T2*-weighted gradient-recalled echo MRI for detecting microbleeds.

Stroke·2013
Same author

Dynamic and high-resolution metabolic imaging of hyperpolarized [1-13C]-pyruvate in the rat brain using a high-performance gradient insert.

Magnetic resonance in medicine·2011
Same author

Interactive continuously moving table (iCMT) large field-of-view real-time MRI.

Magnetic resonance in medicine·2006
Same author

Characterization of vibration and acoustic noise in a gradient-coil insert.

Magma (New York, N.Y.)·2004
Same author

Space-time relationship in continuously moving table method for large FOV peripheral contrast-enhanced magnetic resonance angiography.

Physics in medicine and biology·2003
Same author

A new local multiscale Fourier analysis for medical imaging.

Medical physics·2003
Same journal

Multi-Contrast Human Brain CEST MRI at 11.7 T: First In Vivo Demonstration.

Magnetic resonance in medicine·2026
Same journal

Suppression of Oscillation and Ghosting in RF-Spoiled Gradient-Echo-Based Dynamic Imaging.

Magnetic resonance in medicine·2026
Same journal

A Simple, Dynamic Geometric Phantom for MRI and CT Reconstruction Pipelines: Beyond Shepp-Logan.

Magnetic resonance in medicine·2026
Same journal

7T 3D-EPI PCASL With High SNR Efficiency and Robustness to Through-Plane B<sub>0</sub> Field Gradients.

Magnetic resonance in medicine·2026
Same journal

A Comparison of Tissue Property Values Estimated Using Conventional Cardiac MRF and MT-Cardiac MRF.

Magnetic resonance in medicine·2026
Same journal

Dependence of the Extra-Cellular Diffusion Coefficient on the Fractions of Neurites and Cell Bodies in Gray Matter.

Magnetic resonance in medicine·2026
See all related articles

Reconstruction algorithms like gridding and convolution backprojection impact magnetic resonance image quality. Convolution backprojection minimizes radial aliasing artifacts compared to gridding, which has ringlobes in its point spread function.

Area of Science:

  • Medical Imaging
  • Image Reconstruction
  • Signal Processing

Background:

  • Magnetic resonance images (MRIs) are reconstructed via inverse Fourier transform of k-space data.
  • Reconstruction algorithms can introduce artifacts, affecting image quality.
  • Gridding and convolution backprojection are common methods for polar k-space sampling.

Purpose of the Study:

  • To analyze and compare the performance of gridding and convolution backprojection algorithms.
  • To discuss the tradeoffs in resolution, signal-to-noise ratio, and aliasing.
  • To present a hybrid method for nonequidistant sampling.

Main Methods:

  • Analysis of modulation transfer function and signal-to-noise ratio.
  • Comparison of point spread functions (PSF) for aliasing characteristics.

Related Experiment Videos

  • Development of a hybrid reconstruction algorithm.

    • Main Results:

    • Gridding and convolution backprojection show similar performance regarding modulation transfer function and signal-to-noise ratio.
    • Aliasing characteristics differ significantly due to distinct PSFs.
    • Gridding's PSF includes ringlobes causing aliasing, while convolution backprojection's PSF minimizes radial aliasing.

    Conclusions:

    • Convolution backprojection is superior for minimizing radial aliasing artifacts in MRI reconstruction.
    • A hybrid approach offers a solution for radially nonequidistant k-space sampling.
    • Algorithm choice critically impacts MRI artifact profiles.